|
[1]
|
Legrand, J., Grais, R.F., Boelle, P.Y., Valleron, A.J. and Flahault, A. (2007) Understanding the Dynamics of Ebola Epidemics. Epidemiology and Infection, 135, 610-621. [Google Scholar] [CrossRef] [PubMed]
|
|
[2]
|
Feng, Z., Zheng, Y., Hernandez-Ceron, N., Zhao, H., Glasser, J.W. and Hill, A.N. (2016) Mathematical Models of Ebola—Consequences of Underlying Assumptions. Mathematical Biosciences, 277, 89-107. [Google Scholar] [CrossRef] [PubMed]
|
|
[3]
|
Wang, X., Shi, Y., Feng, Z. and Cui, J. (2017) Evaluations of Interventions Using Mathematical Models with Exponential and Non-Exponential Distributions for Disease Stages: The Case of Ebola. Bulletin of Mathematical Biology, 79, 2149-2173. [Google Scholar] [CrossRef] [PubMed]
|
|
[4]
|
Tadmon, C. and Kengne, J.N. (2022) Mathematical Analysis of a Model of Ebola Disease with Control Measures. International Journal of Biomathematics, 15, Article ID: 2500486. [Google Scholar] [CrossRef]
|
|
[5]
|
Ouemba TassÉ, A.J., Tsanou, B., Lubuma, J., Woukeng, J.L. and Signing, F. (2022) Ebola Virus Disease Dynamics with Some Preventive Measures: A Case Study of the 2018-2020 Kivu Outbreak. Journal of Biological Systems, 30, 113-148. [Google Scholar] [CrossRef]
|
|
[6]
|
Djiomba Njankou, S.D. and Nyabadza, F. (2022) Modelling the Role of Human Behaviour in Ebola Virus Disease (EVD) Transmission Dynamics. Computational and Mathematical Methods in Medicine, 2022, Article ID: 4150043. [Google Scholar] [CrossRef] [PubMed]
|
|
[7]
|
Agbomola, J.O. and Loyinmi, A.C. (2022) Modelling the Impact of Some Control Strategies on the Transmission Dynamics of Ebola Virus in Human-Bat Population: An Optimal Control Analysis. Heliyon, 8, e12121.
|
|
[8]
|
Seck, R., Ngom, D., Ivorra, B. and Ramos, Á.M. (2022) An Optimal Control Model to Design Strategies for Reducing the Spread of the Ebola Virus Disease. Mathematical Biosciences and Engineering, 19, 1746-1774. [Google Scholar] [CrossRef] [PubMed]
|
|
[9]
|
Zhao, J., Wang, L. and Han, Z. (2020) Stability Analysis of Two New SIRS Models with Two Viruses. International Journal of Computer Mathematics, 95, 2026-2035. [Google Scholar] [CrossRef]
|
|
[10]
|
Liu, Z. and Tian, C. (2023) A Weighted Networked SIRS Epidemic Model. Journal of Differential Equations, 269, 10995-11019. [Google Scholar] [CrossRef]
|
|
[11]
|
Xiang, L., Zhang, Y. and Huang, J. (2020) Stability Analysis of a Discrete SIRS Epidemic Model with Vaccination. Journal of Difference Equations and Applications, 26, 309-327. [Google Scholar] [CrossRef]
|
|
[12]
|
Wang, X., Li, J., Guo, S. and Liu, M. (2023) Dynamic Analysis of an Ebola Epidemic Model Incorporating Limited Medical Resources and Immunity Loss. Journal of Applied Mathematics and Computing, 69, 4229-4242. [Google Scholar] [CrossRef]
|
|
[13]
|
Wang, W. and Ruan, S. (2004) Bifurcations in an Epidemic Model with Constant Removal Rate of the Infectives. Journal of Mathematical Analysis and Applications, 291, 775-793. [Google Scholar] [CrossRef]
|
|
[14]
|
Wang, W. (2006) Backward Bifurcation of an Epidemic Model with Treatment. Mathematical Biosciences, 201, 58-71. [Google Scholar] [CrossRef] [PubMed]
|
|
[15]
|
Rattanakul, C. and Chaiya, I. (2024) A Mathematical Model for Predicting and Controlling COVID-19 Transmission with Impulsive Vaccination. AIMS Mathematics, 9, 6281-6304. [Google Scholar] [CrossRef]
|
|
[16]
|
Upadhyay, R.K., Pal, A.K., Kumari, S. and Roy, P. (2019) Dynamics of an SEIR Epidemic Model with Nonlinear Incidence and Treatment Rates. Nonlinear Dynamics, 96, 2351-2368. [Google Scholar] [CrossRef]
|
|
[17]
|
Zhou, T., Zhang, W. and Lu, Q. (2014) Bifurcation Analysis of an SIS Epidemic Model with Saturated Incidence Rate and Saturated Treatment Function. Applied Mathematics and Computation, 226, 288-305. [Google Scholar] [CrossRef]
|
|
[18]
|
Hu, Z., Bi, P., Ma, W. and Ruan, S. (2011) Bifurcations of an SIRS Epidemic Model with Nonlinearincidence Rate. Discrete and Continuous Dynamical Systems—B, 16, 93-112. [Google Scholar] [CrossRef]
|
|
[19]
|
Zhang, X. and Liu, X. (2008) Backward Bifurcation of an Epidemic Model with Saturated Treatment Function. Journal of Mathematical Analysis and Applications, 348, 433-443. [Google Scholar] [CrossRef]
|
|
[20]
|
Gupta, R.P. and Kumar, A. (2022) Endemic Bubble and Multiple Cusps Generated by Saturated Treatment of an SIR Model through Hopf and Bogdanov-Takens Bifurcations. Mathematics and Computers in Simulation, 197, 1-21. [Google Scholar] [CrossRef]
|
|
[21]
|
Shan, C. and Zhu, H. (2014) Bifurcations and Complex Dynamics of an SIR Model with the Impact of the Number of Hospital Beds. Journal of Differential Equations, 257, 1662-1688. [Google Scholar] [CrossRef]
|
|
[22]
|
Li, G. and Zhang, Y. (2017) Dynamic Behaviors of a Modified SIR Model in Epidemic Diseases Using Nonlinear Incidence and Recovery Rates. PLOS ONE, 12, e0175789. [Google Scholar] [CrossRef] [PubMed]
|
|
[23]
|
Jia, C., Wang, X. and Chen, Y. (2025) Complex Dynamics of an SIHR Epidemic Model with Variable Hospitalization Rate Depending on Unoccupied Hospital Beds. Mathematics and Computers in Simulation, 229, 706-724. [Google Scholar] [CrossRef]
|
|
[24]
|
van den Driessche, P. and Watmough, J. (2002) Reproduction Numbers and Sub-Threshold Endemic Equilibria for Compartmental Models of Disease Transmission. Mathematical Biosciences, 180, 29-48. [Google Scholar] [CrossRef] [PubMed]
|
|
[25]
|
Castillo-Chavez, C. and Song, B. (2004) Dynamical Models of Tuberculosis and Their Applications. Mathematical Biosciences and Engineering, 1, 361-404. [Google Scholar] [CrossRef] [PubMed]
|
|
[26]
|
Taylor, R. (1990) Interpretation of the Correlation Coefficient: A Basic Review. Journal of Diagnostic Medical Sonography, 6, 35-39. [Google Scholar] [CrossRef]
|
|
[27]
|
Blower, S.M., Hartel, D., Dowlatabadi, H., Anderson, R.M. and May, R.M. (1991) Drugs, Sex and HIV: A Mathematical Model for New York City. Philosophical Transactions of the Royal Society B: Biological Sciences, 331, 171-187. [Google Scholar] [CrossRef] [PubMed]
|